Triple

T8217003
Position Surface form Disambiguated ID Type / Status
Subject AL 21 E191957 entity
Predicate passesThrough P225 FINISHED
Object Lowndesboro, Alabama E744493 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lowndesboro, Alabama | Statement: [AL 21, passesThrough, Lowndesboro, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lowndesboro, Alabama
Context triple: [AL 21, passesThrough, Lowndesboro, Alabama]
  • A. Lowndesboro, Alabama chosen
    Lowndesboro, Alabama is a small historic town in central Alabama known for its antebellum architecture and location along the Alabama River in Lowndes County.
  • B. Shorterville, Alabama
    Shorterville, Alabama is a small unincorporated community and rural locality in eastern Henry County near the Chattahoochee River.
  • C. Townley, Alabama
    Townley, Alabama is a small unincorporated community located in Walker County in the north-central part of the state.
  • D. Lipscomb, Alabama
    Lipscomb, Alabama is a small city located in the Birmingham metropolitan area of central Alabama.
  • E. Eldridge, Alabama
    Eldridge, Alabama is a small rural town located in Walker County in the northwestern part of the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776f41108190bed1c6a8ddbea374 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb26dd048190bd7e4de4ae986b32 completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 5:44 p.m.